scholarly journals Application of Analytical Hierarchy Process in Teaching Quality Analysis of English Writing

2020 ◽  
Vol 15 (14) ◽  
pp. 137
Author(s):  
Xiaoqin Zhang ◽  
Shengxin Wang ◽  
Yanling Cao ◽  
Guangqi Chen
Keyword(s):  
Analytical Hierarchy Process ◽  
Evaluation System ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Quality Analysis ◽  
English Writing ◽  
Evaluation Systems ◽  
Hierarchy Process

There are two major problems in the evaluation of the teaching quality of English writing: the weak logic of the evaluation system and the low reliability of the evaluation model. To solve the problems, this paper put forward an evaluation method for the teaching quality of English writing based on the analytical hierarchy process (AHP). Firstly, the authors reviewed the current evaluation methods for the teaching quality of English writing. Next, hierarchical evaluation systems were established for the teaching quality of English writing from the perspectives of teachers and students, respectively. After that, the AHP method and the grey theory were introduced to set up an evaluation model for the teaching quality of English writing. Finally, several strategies were presented to improve the teaching quality of English writing. The proposed evaluation systems and model enriched the theories on teaching quality evaluation of English writing, and promoted the teaching quality of English writing.

scholarly journals Evaluation of Teaching Quality of College Physical Education Based on Analytic Hierarchy Process

2020 ◽  
Vol 15 (10) ◽  
pp. 86
Author(s):  
Ke Han
Keyword(s):  
Quality Evaluation ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Grey System ◽  
Analytic Hierarchy ◽  
Evaluation Systems ◽  
Evaluation Of Teaching ◽  
Set Up ◽  
Hierarchy Process

There are many difficulties in the evaluation of the teaching quality of phys-ical education (PE) in colleges: the evaluation factors are complicated, the evaluation systems are incomplete, and the evaluation methods are not com-prehensive enough. To overcome these difficulties, this paper introduces an-alytic hierarchy process (AHP) to the evaluation of PE teaching quality in colleges. Firstly, the authors identified the influencing factors of PE teaching in colleges today. Next, an index system was established for the evaluation, and an evaluation model was set up based on the AHP and grey system theo-ry (GST). Finally, our method was proved feasible through example analysis. The research results provide new insights on the application of state-of-the-art theories in quality evaluation of higher education.

An artificial intelligence based model for evaluation of college students’ ability and characteristics through teaching evaluation

2020 ◽  
pp. 1-11
Author(s):  
Bin Li ◽  
Yanying Fei ◽  
Hui Liu
Keyword(s):  
Evaluation System ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Colleges And Universities ◽  
Developmental Potential ◽  
The Core ◽  
Academic Level ◽  
Quality Evaluation System

The teaching quality is the core of sustainable development in colleges and universities. The constructing scientific and reasonable teaching quality evaluation system is the key of teaching quality evaluation. This paper takes the quality of graduates as the core content, establishes a results-oriented teaching quality evaluation system in colleges and universities, and finds that the academic level of graduates and the level of competition in career selection are two quantitative dimensions reflecting the quality of graduates. Based on this, this paper establishes the evaluation model of the developmental potential index and gives the reference of the norm of teaching effect evaluation for self-evaluation. Finally, this paper discusses the components of graduate quality and the way to construct the evaluation system.

scholarly journals A Multi-Attribute Fuzzy Evaluation Model for the Teaching Quality of Physical Education in Colleges and Its Implementation Strategies

2021 ◽  
Vol 16 (02) ◽  
pp. 159
Author(s):  
Yao Wang ◽  
Chunyan Sun ◽  
Ying Guo
Keyword(s):  
Physical Education ◽  
Evaluation System ◽  
Evaluation Model ◽  
Implementation Strategies ◽  
Teaching Quality ◽  
Fuzzy Evaluation ◽  
Proposed Model ◽  
Grey Relational ◽  
Fuzzy Evaluation Model

There are two major problems with teaching quality evaluation of physical education (PE) in colleges: the excessive number of evaluation factors, and the incomplete evaluation system. To solve the problems, this paper puts forward a multi-attribute fuzzy evaluation model of college PE teaching quality, and provides the strategies to implement the model. Firstly, the problems of college PE teaching were analyzed, and a novel multi-dimensional evaluation system was developed for college PE teaching quality. To quantify college PE teaching quality, an evaluation model of college PE teaching quality was established based on the Grey Relational Analysis (GRA). In addition, several strategies were presented to improve college PE teaching quality. The proposed model and strategies provide a good reference for solving similar complex system problems.

scholarly journals Evaluation Model of Educational Curriculum in Higher Schools Based on Deep Neural Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yong Jin ◽  
Yiwen Yang ◽  
Baican Yang ◽  
Yunfu Zhang
Keyword(s):  
Evaluation System ◽  
Teaching And Learning ◽  
Evaluation Model ◽  
Rapid Development ◽  
Video Recording ◽  
Teaching Quality ◽  
Individual Characteristics ◽  
Teaching Staff ◽  
Academic Level

Classroom teaching quality evaluation system can enable the school’s functional departments to accurately assess the performance of the teaching staff and current teaching operations. As per the requirements for cultivating high-quality talents, planned teaching staff construction and teaching reforms need to be carried out to promote teachers’ appointments. Improving the system makes the appointment process more scientific by giving due attention to the individual characteristics of all types of teachers while hiring them for related jobs. The system motivates the love of teaching, high academic level, high teaching level, and competitive teaching. In recent years, the rapid development of artificial intelligence and deep learning caused many colleges and universities to put forward the target of campus digitization and education informatization. The state of the classroom is a critical reference factor throughout the teaching and learning process for evaluating students’ acceptance of the course and the quality of the teaching. However, at present, the analysis of the classroom status is mainly conducted manually, which distracts teachers and is also not much precise. Therefore, finding a method that can improve the efficiency of classroom status analysis has great research significance. This study uses the deep neural network method to read each class’s video recording and analyze it from the aspects of students’ behavior and attendance. The system can realize class behavior and eventually evaluate the course quality employed to motivate teachers to improve teaching and overall quality of education.

scholarly journals Fuzzy Evaluation of Physical Education Teaching Quality in Colleges Based on Analytic Hierarchy Process

2021 ◽  
Vol 16 (06) ◽  
pp. 217
Author(s):  
Xiaokun Zhao ◽  
Chao Zheng
Keyword(s):  
Physical Education ◽  
Analytic Hierarchy Process ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Evaluation Index System ◽  
Fuzzy Evaluation ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Fuzzy Evaluation Model

For physical education (PE) in colleges, the evaluation of the teaching quality is affected by various fuzzy and uncertain factors. Therefore, this paper probes deep into the fuzzy evaluation of the teaching quality of college PE, using analytic hierarchy process (AHP), fuzzy system theory and grey theory. Firstly, the factors affecting the teaching quality of college PE were analyzed theoretically, and the keys to improving that teaching quality were clarified. On this basis, the authors established an evaluation index system and a fuzzy evaluation model for the teaching quality of college PE. The proposed fuzzy evaluation model serves an innovative tool to evaluate the teaching quality of college PE. Apart from effective measurement of the teaching quality, the proposed model provides an important reference for improving the teaching quality of college PE.

Evaluation of English interpretation teaching quality based on GA optimized RBF neural network

2020 ◽  
pp. 1-8
Author(s):  
Lu Chen ◽  
He Being
Keyword(s):  
Neural Network ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Rbf Neural Network ◽  
Evaluation Model ◽  
Principal Component ◽  
Teaching Quality ◽  
Network Teaching ◽  
Time Performance

Aiming at the problem of low accuracy of the current English interpretation teaching quality evaluation, a teaching quality evaluation method based on a genetic algorithm (GA) optimized RBF neural network is proposed. First, the principal component analysis is used to select the teaching quality evaluation index, and then design The RBF neural network teaching evaluation model is used, and GA is used to optimize the initial weights of the RBF neural network. Experimental results show that this method can effectively evaluate the quality of English interpretation teaching, and has high accuracy and real-time performance.

Research of Cleaner Production System in Phosphate Mine

2013 ◽  
Vol 868 ◽  
pp. 265-270
Author(s):  
Jun Ye ◽  
Sheng Gao Cheng ◽  
Shi Yi ◽  
Jia Song ◽  
Xiao Tong Liu
Keyword(s):  
Analytical Hierarchy Process ◽  
Production System ◽  
Evaluation System ◽  
Evaluation Method ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Fuzzy Mathematics ◽  
Phosphate Mine ◽  
Hierarchy Process ◽  
Mathematics Method

Considering phosphate mine as an object, the text using Analytical Hierarchy Process established a model of cascade evaluation index system. And through the successful experiences of the cleaning production of advanced enterprises of phosphate mine at home and broad, this text determined the recommended value of evaluation index; And in this paper, using fuzzy mathematics method and the success experiences of experts, we put forward a quantitative evaluation method and established a cleaning production evaluation system of phosphate mine.

Research on Classroom Teaching Quality Evaluation of Chinese as a Foreign Language Based on AHP Model

2013 ◽  
Vol 411-414 ◽  
pp. 2957-2960 ◽  
Author(s):  
Jing Liu
Keyword(s):  
Evaluation System ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Teaching Quality ◽  
Classroom Teaching ◽  
Ahp Model ◽  
Judgment Matrix ◽  
Quality Evaluation System ◽  
Chinese Teaching

How to evaluate the teaching quality of Chinese teacher objectively is an important subject of each university. In view of the shortage of classroom teaching quality evaluation, AHP model is introduced to evaluate the quality of TCFL, and an Chinese teaching quality evaluation system is established. Based on the evaluation content and standard of the system, combined with the the principle of AHP and expert investigation method, a judgment matrix is established, and the weight of each index to the total target is calculated. The comprehensive weight of each index and evaluation object score are multiplied, through a series of calculation, the teachers comprehensive scores can be obtained so as to evaluate the teaching quality. The results show that it is very scientific and objective to evaluate Chinese classroom teaching quality by using AHP model, it is a feasible evaluation method and has higher application value.

scholarly journals Applying Fuzzy Fault Tree Method to Evaluate the Reliability of College Classroom Teaching

2021 ◽  
Vol 12 ◽  
Author(s):  
Liangliang Wang ◽  
Mingfang Fan ◽  
Feng Zhang
Keyword(s):  
Higher Education ◽  
Evaluation System ◽  
Evaluation Model ◽  
Fault Tree ◽  
Teaching Quality ◽  
Classroom Teaching ◽  
College Classroom ◽  
Quality Of Higher Education ◽  
Solid Foundation

The evaluation of classroom teaching quality is closely related to the development of higher education as a scientific and effective evaluation system that can provide a solid foundation for formulating educational policies. Therefore, an evaluation model of classroom teaching quality in colleges and universities is established based on the fuzzy fault tree theory with “classroom teaching failure” as the top event to effectively evaluate the reliability of college classroom teaching and optimize the teaching strategies. In consideration of the lack of availability and dynamics of classroom teaching data, fuzzy numbers are used to describe the probability of underlying events. In addition, the top event probability of the fuzzy fault tree is calculated by the double-layer Monte Carlo method (MCM), which analyzes the classroom teaching effect based on the fuzzy fault tree reasonable. In summary, the quantitative evaluation system of classroom teaching quality based on fuzzy fault trees can evaluate classroom teaching more comprehensively and dynamically and help to improve the teaching quality of higher education.

scholarly journals Exploration on the Teaching Reform Measure for Machine Learning Course System of Artificial Intelligence Specialty

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yizhang Jiang ◽  
Bo Li
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Teaching Quality ◽  
Teaching Reform ◽  
Intelligent Technology ◽  
Quality Evaluation System

Due to the particularity of the artificial intelligence major and the machine learning courses learned, the traditional course teaching model is not suitable for artificial intelligence major machine learning courses. Based on this background, this article proposes a new system based on machine learning curriculum teaching reform. It mainly includes the reform of curriculum teaching mode, curriculum practice reform, and teaching process reform. In order to verify the effect of the proposed new model on the teaching quality of machine learning courses, this article also proposes an evaluation method based on intelligent technology. Firstly, the feasibility of evaluation based on intelligent technology is described. Secondly, it lists the application details of the existing teaching evaluation based on intelligent technology. Finally, a novel teaching quality evaluation system based on intelligent technology is proposed. The system collects student facial expression data and uses classification algorithms to make classification decisions on the data. The result of the decision can give feedback on the quality of classroom teaching. The comparison of experiments based on different intelligent technologies shows that the teaching quality evaluation system proposed in this article is feasible and effective.

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